Zobrazeno 1 - 10
of 27 803
pro vyhledávání: '"Chhabra A"'
Autor:
Hunter CW, Deer TR, Jones MR, Chang Chien GC, D'Souza RS, Davis T, Eldon ER, Esposito MF, Goree JH, Hewan-Lowe L, Maloney JA, Mazzola AJ, Michels JS, Layno-Moses A, Patel S, Tari J, Weisbein JS, Goulding KA, Chhabra A, Hassebrock J, Wie C, Beall D, Sayed D, Strand N
Publikováno v:
Journal of Pain Research, Vol Volume 15, Pp 2683-2745 (2022)
Corey W Hunter,1,2 Timothy R Deer,3 Mark R Jones,4 George Chiang Chien,5 Ryan S D’Souza,6 Timothy Davis,7 Erica R Eldon,2 Michael F Esposito,8 Johnathan H Goree,9 Lissa Hewan-Lowe,2 Jillian A Maloney,10 Anthony J Mazzola,2 John S Michels,4 Annie La
Externí odkaz:
https://doaj.org/article/ea8134a5757348c0a2cd192bdc9c8984
Autor:
Yadav Kanchan, Das Megha, Mishra Nitesh Kumar, Chhabra Anuj, Mishra Archana, Srivastava Sunita, Sharma Poonam, Yadav Sanjeev Kumar, Parmar Avanish Singh
Publikováno v:
Nanotechnology Reviews, Vol 11, Iss 1, Pp 1643-1657 (2022)
Externí odkaz:
https://doaj.org/article/e71181c00add4eda824548da4d45e7ed
Autor:
Achara, Akshit, Chhabra, Anshuman
AI Safety Moderation (ASM) classifiers are designed to moderate content on social media platforms and to serve as guardrails that prevent Large Language Models (LLMs) from being fine-tuned on unsafe inputs. Owing to their potential for disparate impa
Externí odkaz:
http://arxiv.org/abs/2501.13302
Social media platforms utilize Machine Learning (ML) and Artificial Intelligence (AI) powered recommendation algorithms to maximize user engagement, which can result in inadvertent exposure to harmful content. Current moderation efforts, reliant on c
Externí odkaz:
http://arxiv.org/abs/2501.13977
Autor:
Bonagiri, Akash, Li, Lucen, Oak, Rajvardhan, Babar, Zeerak, Wojcieszak, Magdalena, Chhabra, Anshuman
The prevalence of harmful content on social media platforms poses significant risks to users and society, necessitating more effective and scalable content moderation strategies. Current approaches rely on human moderators, supervised classifiers, an
Externí odkaz:
http://arxiv.org/abs/2501.13976
This work introduces a novel paradigm for generalized In-Context Learning (ICL), termed Indirect In-Context Learning. In Indirect ICL, we explore demonstration selection strategies tailored for two distinct real-world scenarios: Mixture of Tasks and
Externí odkaz:
http://arxiv.org/abs/2501.01473
Autor:
Rivinius, Th., Klement, R., Chojnowski, S. D., Baade, D., Abdul-Masih, M., Przybilla, N., Flo, J. Guarro, Heathcote, B., Hadrava, P., Gies, D., Shepard, K., Buil, C., Garde, O., Thizy, O., Monnier, J. D., Anugu, N., Lanthermann, C., Schaefer, G., Davies, C., Kraus, S., Ennis, J., Setterholm, B. R., Gardner, T., Ibrahim, N., Chhabra, S., Gutierrez, M., Codron, I.
Many classical Be stars acquire their very rapid rotation by mass and angular-momentum transfer in massive binaries. Short-lived intermediate-phase objects have only been discovered recently. Data archives and the literature have been searched for ad
Externí odkaz:
http://arxiv.org/abs/2412.09720
Autor:
Chhabra, Himanshu, Inkulu, R.
The constant workspace algorithms use a constant number of words in addition to the read-only input to the algorithm stored in an array. In this paper, we devise algorithms to efficiently compute relative hulls in the plane using a constant workspace
Externí odkaz:
http://arxiv.org/abs/2411.10043
Autor:
Chhabra, Rahul
The aim of this article is to give an expository account of the equivalence between modest sets and partial equivalence relations. Our proof is entirely self-contained in that we do not assume any knowledge of categorical realizability. At the heart
Externí odkaz:
http://arxiv.org/abs/2411.08421
Autor:
Gallenne, A., Evans, N. R., Kervella, P., Monnier, J. D., Proffitt, C. R, Schaefer, G. H., Winston, E. M., Kuraszkiewicz, J., Mérand, A., Pietrzyński, G., Gieren, W., Pilecki, B., Kraus, S., Bouquin, J-B Le, Anugu, N., Brummelaar, T. ten, Chhabra, S., Codron, I., Davies, C. L., Ennis, J., Gardner, T., Gutierrez, M., Ibrahim, N., Lanthermann, C., Mortimer, D., Setterholm, B. R.
Publikováno v:
A&A 693, A111 (2025)
Cepheid masses are particularly necessary to help solving the mass discrepancy, while independent distance determinations provide crucial test of the period-luminosity relation and Gaia parallaxes. We used CHARA/MIRC to measure the astrometric positi
Externí odkaz:
http://arxiv.org/abs/2411.06647